Face Identification Algorithm Based on Synthetic Linear Descriptors

Sadykhov, Rauf; Samokhval, V.A.

doi:10.1109/idaacs.2005.283053

Cited by 1 publication

(1 citation statement)

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“…It attempts to build a computer model that best reflects the face by minimizing the number of variables and bringing out key variables (eigenfeatures like eyes, noses, lips, cheeks, etc.) that best reflect the face [31] [32].…”

Section: Holistic Technique (Appearance-based)mentioning

confidence: 99%

The Face Detection / Recognition , Perspective and Obstacles In Robotic: A Review

Uddin

Moshayedi

et al. 2022

EAI Endorsed Trans AI Robotics

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Facial recognition research is one of the different types of research in this world today. In recent years, facial recognition in robots has attracted increased study interest. Robotic platforms now utilize a variety of object detection methods, with face detection being a viable use. Face detection in robotics is a computer technique that recognizes human faces in digital pictures and is used in a range of applications. Different authors have performed their research in different ways on the use of detection systems. This paper aims to give future researchers a better idea of using facial recognition systems in robotics. In this study, we reviewed research by various authors over recent years to facilitate future facial recognition research. In addition, scholars have addressed the topics, how they have done so, and the specifics of their approaches are described. This paper reviewed an overview of hardware implementation and software implementation by various authors. It can automatically focus cameras or count the number of people who have entered a location. Commercial applications of the method include displaying tailored advertisements in response to a recognized face along with the algorithms, functions and architectures used in facial recognition and giving the opinions of various authors mentioned. The comparative analysis of facial recognition and its architecture system is highlighted.

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Section: Holistic Technique (Appearance-based)mentioning

confidence: 99%